Insights for AI builders
Tutorials, product updates, and ideas to help you build and ship AI applications faster.
Subscribe via RSS
AI Memory for Professional Relationship Management: How to Never Miss a Follow-Up
Use an agent-readable database to track professional contacts, flag neglected relationships, and surface warm intro windows before they close.
How to Build an AI-Powered Job Search Dashboard with OpenBrain and Claude
Track companies, contacts, applications, and interviews in a shared database your AI agent can reason across to surface warm intros and flag expiring windows.
Binary Assertions vs Subjective Evals: How to Build Reliable AI Skill Tests
Binary true/false assertions are the key to automating AI skill improvement. Learn why subjective evals fail and how to write assertions that actually work.
How to Build a Self-Improving AI Skill with Eval.json and Claude Code
Set up an eval folder with binary assertions, run a Carpathy-style improvement loop, and let Claude Code refine your skill.md overnight without human input.
How to Build Visual Dashboards on Top of Your AI Memory System with Vercel
Add a human-readable interface to your OpenBrain database using Claude-generated web apps deployed free on Vercel. Both you and your agents read the same data.
How to Use Claude Code with AutoResearch to Build Self-Improving AI Skills
Combine Claude Code skills with Karpathy's AutoResearch loop to automatically improve prompt quality overnight using binary eval assertions and pass rates.
How to Use Claude's Interactive Visualizations for Learning and Data Exploration
Claude can generate compound interest calculators, animated diagrams, and interactive timelines on demand. Here's how to prompt for the best results.
Claude Interactive Visualizations vs ChatGPT Interactive Learning: Which Is Better?
Claude builds custom interactive apps from scratch while ChatGPT uses pre-built visuals. Compare both approaches to see which fits your workflow best.
What Is the Ecosystem Strategy Behind Claude, ChatGPT, and Gemini Feature Releases?
AI labs aren't just building better models—they're building sticky ecosystems. Learn why each feature release is part of a larger platform lock-in strategy.
Gemini Embedding 2 vs Qwen3 VL Embeddings: Which Multimodal Model Should You Use?
Compare Gemini Embedding 2 and Qwen3 VL embeddings across supported modalities, embedding dimensions, API access, and real-world search use cases.
What Is Andrej Karpathy's AutoResearch Pattern Applied to Claude Code Skills?
Learn how to adapt Karpathy's autonomous ML research loop to improve Claude Code skill outputs using eval files, pass rates, and overnight self-improvement.
What Is Matryoshka Representation Learning in Gemini Embedding 2?
Gemini Embedding 2 supports flexible embedding sizes from 3,072 down to 768 dimensions. Learn how Matryoshka learning works and when to use smaller embeddings.
How to Search Video Content with Gemini Embedding 2: Chunking Strategies Explained
Embed video clips in 15-30 second chunks using Gemini Embedding 2 to enable text-based search over long-form video content without transcription.
What Is Stripe Minions' Blueprint Architecture? How Deterministic and Agentic Nodes Work Together
Stripe Minions uses blueprints that combine fixed deterministic steps with AI agent nodes. Learn the architecture behind 1,300 weekly AI-written pull requests.
How to Build a Unified Multimodal Search System with Gemini Embedding 2 and LangChain
Use Gemini Embedding 2 with LangChain and ChromaDB to build a single search index that handles text, images, audio, video, and PDFs in one query.
What Is the AutoResearch Loop? How to Apply Karpathy's Pattern to Business Optimization
AutoResearch lets AI agents autonomously run experiments, measure results, and keep improvements overnight. Here's how to apply it beyond machine learning.
What Is Canva Magic Layers? How to Turn Any Image Into Editable Layers
Canva Magic Layers separates images into independently movable elements. Learn how it works, what it's best for, and how to use it in your design workflow.
What Is Claude's Generative UI Feature? How It Differs from Canvas and Artifacts
Claude's generative UI builds interactive applications inline during conversation—not in a separate canvas. Learn how it works and what makes it different.
What Is Claude's Interactive Visualization Feature? On-Demand Generative UI Explained
Claude can now build interactive charts, calculators, and animations inside your conversation. Learn how on-demand generative UI works and what you can build.
What Is Digital Optimus? Elon Musk's AI Agent for Computer Tasks Explained
Digital Optimus is Tesla's AI agent designed to watch screens and control computers in real time using continuous video processing instead of screenshots.
What Is Gemini Embedding 2? The First Natively Multimodal Embedding Model
Gemini Embedding 2 maps text, images, video, audio, and PDFs into one shared vector space. Learn how it simplifies multimodal search and RAG pipelines.
What Is Microsoft Copilot Co-Work? Claude-Powered Enterprise Automation Explained
Microsoft Copilot Co-Work brings Claude's autonomous capabilities into Microsoft 365, running tasks across emails, meetings, and files in the cloud.
What Is Nvidia Nemotron 3 Super? The 120B Open-Weight Model Explained
Nvidia Nemotron 3 Super is a 120 billion parameter open-weight model you can fine-tune and run locally. Here's what it can do and where to access it.
What Is OpenBrain? The Personal AI Memory Database You Own and Control
OpenBrain is a personal Supabase database connected to any AI via MCP. Learn how it gives your agents persistent memory across Claude, ChatGPT, and OpenClaw.